Fuzzy logic says that there are various degrees of "belonging" to a class, according to the measurement value.

Fuzzy logic uses some functions, called membership functions, that take as input the measurement and produce as output a number that expresses by how much something belongs to a class:

membership function of class A (measurement of field F) = how much field F belongs to class A

Commonly used membership functions look like this: